Triple
T22373921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QLayout |
E553107
|
entity |
| Predicate | hasChildComponentSlot |
P25619
|
FINISHED |
| Object | header slot |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: header slot | Statement: [QLayout, hasChildComponentSlot, header slot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildComponentSlot Context triple: [QLayout, hasChildComponentSlot, header slot]
-
A.
hasSubcomponent
chosen
Indicates that one entity is a constituent part or component of another, larger entity.
-
B.
hasChildrenArea
Indicates that an entity includes or is associated with a designated area intended for children.
-
C.
hasComponentModel
Indicates that an entity includes or is associated with a specific component model as part of its structure or configuration.
-
D.
hasComponentRoute
Indicates that one route includes another route as a constituent or subordinate part of its overall structure.
-
E.
hasLayComponent
Indicates that an entity includes or is associated with a specific lay (non-professional or non-expert) component as part of its structure or composition.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15806b534819083716c2b090ede42 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.